{"id":8531,"date":"2023-12-20T16:29:30","date_gmt":"2023-12-20T16:29:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=8531"},"modified":"2023-12-21T10:38:38","modified_gmt":"2023-12-21T10:38:38","slug":"ml-boosts-x-ray-diffraction-techniques-to-find-new-materials","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","title":{"rendered":"ML booster r\u00f8ntgendiffraktionsteknikker til at finde nye materialer"},"content":{"rendered":"<p><strong>Materialeforskere fors\u00f8ger konstant at finde nye materialer med specifikke egenskaber, men de eksperimentelle data, de skal gennemg\u00e5, er overv\u00e6ldende. Forskere ved University of Rochester brugte maskinl\u00e6ring til at fremskynde opdagelsen af nye materialer.<\/strong><\/p>\n<p>Krystallinske materialer har en velordnet, gentagen krystalgitterstruktur, et regelm\u00e6ssigt, gentaget arrangement af atomer, ioner eller molekyler. Arrangementet af disse krystalgitre er det, der giver et materiale specifikke egenskaber.<\/p>\n<p>Vil du have et materiale, der er h\u00e5rdt, kan klare h\u00f8je temperaturer og er let? Du skal have den helt rigtige gitterstruktur for at f\u00e5 det til at ske.<\/p>\n<p>N\u00e5r materialeforskere syntetiserer en lille m\u00e6ngde af et nyt materiale, vil de gerne vide, hvilke egenskaber det vil have, s\u00e5 de kan beslutte, om det er brugbart til en bestemt anvendelse eller ej.<\/p>\n<p>De bruger en proces kaldet r\u00f8ntgendiffraktion (XRD) til at g\u00f8re dette. Materialepr\u00f8ven males normalt til et fint pulver og uds\u00e6ttes derefter for r\u00f8ntgenstr\u00e5ler. N\u00e5r r\u00f8ntgenstr\u00e5lerne rammer atomerne i materialet, afb\u00f8jes de i forskellige retninger, afh\u00e6ngigt af atomernes placering.<\/p>\n<p>De afb\u00f8jede r\u00f8ntgenstr\u00e5ler skaber et m\u00f8nster p\u00e5 en detektor, som forskerne skal analysere for at udlede materialets egenskaber. Problemet er, at XRD producerer en enorm m\u00e6ngde data, som mennesker ikke er i stand til at behandle effektivt.<\/p>\n<h2>Automatisering af materialeanalyse<\/h2>\n<p><a href=\"https:\/\/www.nature.com\/articles\/s41524-023-01164-8\" target=\"_blank\" rel=\"noopener\">Unders\u00f8gelsen<\/a>ledet af ph.d.-studerende i materialevidenskab <a href=\"https:\/\/www.hajim.rochester.edu\/me\/sites\/abdolrahim\/people\/graduate-students\/jerardo-salgado\/index.html\" target=\"_blank\" rel=\"noopener\">Jerardo Salgado<\/a>udviklede deep learning-modeller til at automatisere klassificeringen af materialer baseret p\u00e5 deres XRD-m\u00f8nstre.<\/p>\n<p>De maskinl\u00e6ringsmodeller, de brugte, anvender convolutional neural networks (CNN'er), en type neurale netv\u00e6rk, der er rigtig gode til at udf\u00f8re billedgenkendelses- og klassificeringsopgaver.<\/p>\n<p>Modellerne blev tr\u00e6net p\u00e5 et stort datas\u00e6t med syntetiske XRD-m\u00f8nstre, som blev genereret for at repr\u00e6sentere en bred vifte af eksperimentelle forhold og materialetyper.<\/p>\n<p>Projektleder <a href=\"https:\/\/www.hajim.rochester.edu\/me\/people\/faculty\/abdolrahim_niaz\/index.html\" target=\"_blank\" rel=\"noopener\">Niaz Abdolrahim<\/a>Der er en masse materialevidenskab og fysik gemt i hvert eneste af disse billeder, og der produceres terabytes af data hver dag p\u00e5 anl\u00e6g og laboratorier over hele verden\", siger professor i maskinteknik ved University of Rochester.<\/p>\n<p>Abdolrahim forklarede fordelene ved maskinl\u00e6ring inden for sit felt: \"At udvikle en god model til at analysere disse data kan virkelig hj\u00e6lpe med at fremskynde materialeinnovation, forst\u00e5 materialer under ekstreme forhold og udvikle materialer til forskellige teknologiske anvendelser.\"<\/p>\n<p>Brug af maskinl\u00e6ringsmodeller til at filtrere XRD-data kan fremskynde udviklingen af hurtigere elektronik, bedre batterier eller endda hverdagsting med forbedret holdbarhed, funktionalitet eller b\u00e6redygtighed.<\/p>\n<p>Forskere fra <a href=\"https:\/\/cmap.rochester.edu\/\" target=\"_blank\" rel=\"noopener\">Center for stof ved atomare tryk<\/a> har en s\u00e6rlig interesse i denne anvendelse af maskinl\u00e6ring. Ved at bruge XRD, mens man uds\u00e6tter materialer for ekstreme tryk og temperaturer, kan forskere ikke kun opdage m\u00e5der at skabe nye materialer p\u00e5, men ogs\u00e5 l\u00e6re om dannelsen af stjerner og planeter.<\/p>\n<p>Ved at bruge AI til at frig\u00f8re videnskabelige hjerner fra dataanalysens tr\u00e6lse arbejde vil deres kreative t\u00e6nkning blive bedre til at designe de materialer, der vil forme vores fremtid.<\/p>","protected":false},"excerpt":{"rendered":"<p>Materialeforskere fors\u00f8ger konstant at finde nye materialer med specifikke egenskaber, men de eksperimentelle data, de skal gennemg\u00e5, er overv\u00e6ldende. Forskere ved University of Rochester brugte maskinl\u00e6ring til at fremskynde opdagelsen af nye materialer. Krystallinske materialer har en velordnet, gentagen krystalgitterstruktur, et regelm\u00e6ssigt, gentaget arrangement af atomer, ioner eller molekyler. Arrangementet af disse krystalgitre er det, der giver et materiale specifikke egenskaber. Vil du have et materiale, der er h\u00e5rdt, kan klare h\u00f8je temperaturer og er let? Du skal have den helt rigtige gitterstruktur for at f\u00e5 det til at ske. N\u00e5r materialeforskere syntetiserer en lille m\u00e6ngde<\/p>","protected":false},"author":6,"featured_media":8534,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,105],"class_list":["post-8531","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ML boosts X-ray diffraction techniques to find new materials | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ML boosts X-ray diffraction techniques to find new materials | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Material scientists are constantly trying to find new materials with specific properties but the experimental data they have to wade through is overwhelming. Scientists at the University of Rochester used machine learning to fast-track new materials discovery. Crystalline materials have a well-ordered, repeating crystal lattice structure, a regular, repeating arrangement of atoms, ions, or molecules. The arrangement of these crystal lattices is what gives a material specific properties. Want a material that\u2019s hard, handles high temperatures, and is lightweight? You\u2019ve got to get just the right lattice structure to make that happen. When material scientists synthesize a small amount of\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-20T16:29:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-21T10:38:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eugene van der Watt\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/\"},\"author\":{\"name\":\"Eugene van der Watt\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\"},\"headline\":\"ML boosts X-ray diffraction techniques to find new materials\",\"datePublished\":\"2023-12-20T16:29:30+00:00\",\"dateModified\":\"2023-12-21T10:38:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/\"},\"wordCount\":493,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/material-crystal-lattice.png\",\"keywords\":[\"AI benefits\",\"machine learning\"],\"articleSection\":[\"Industry\"],\"inLanguage\":\"da-DK\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/\",\"name\":\"ML boosts X-ray diffraction techniques to find new materials | DailyAI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/material-crystal-lattice.png\",\"datePublished\":\"2023-12-20T16:29:30+00:00\",\"dateModified\":\"2023-12-21T10:38:38+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#breadcrumb\"},\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#primaryimage\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/material-crystal-lattice.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/material-crystal-lattice.png\",\"width\":1792,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/12\\\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/dailyai.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"ML boosts X-ray diffraction techniques to find new materials\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"name\":\"DailyAI\",\"description\":\"Your Daily Dose of AI News\",\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/dailyai.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"da-DK\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\",\"name\":\"DailyAI\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"width\":4501,\"height\":934,\"caption\":\"DailyAI\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/x.com\\\/DailyAIOfficial\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/dailyaiofficial\\\/\",\"https:\\\/\\\/www.youtube.com\\\/@DailyAIOfficial\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\",\"name\":\"Eugene van der Watt\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"caption\":\"Eugene van der Watt\"},\"description\":\"Eugene comes from an electronic engineering background and loves all things tech. When he takes a break from consuming AI news you'll find him at the snooker table.\",\"sameAs\":[\"www.linkedin.com\\\/in\\\/eugene-van-der-watt-16828119\"],\"url\":\"https:\\\/\\\/dailyai.com\\\/da\\\/author\\\/eugene\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ML styrker r\u00f8ntgendiffraktionsteknikker til at finde nye materialer | DailyAI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dailyai.com\/da\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","og_locale":"da_DK","og_type":"article","og_title":"ML boosts X-ray diffraction techniques to find new materials | DailyAI","og_description":"Material scientists are constantly trying to find new materials with specific properties but the experimental data they have to wade through is overwhelming. Scientists at the University of Rochester used machine learning to fast-track new materials discovery. Crystalline materials have a well-ordered, repeating crystal lattice structure, a regular, repeating arrangement of atoms, ions, or molecules. The arrangement of these crystal lattices is what gives a material specific properties. Want a material that\u2019s hard, handles high temperatures, and is lightweight? You\u2019ve got to get just the right lattice structure to make that happen. When material scientists synthesize a small amount of","og_url":"https:\/\/dailyai.com\/da\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","og_site_name":"DailyAI","article_published_time":"2023-12-20T16:29:30+00:00","article_modified_time":"2023-12-21T10:38:38+00:00","og_image":[{"width":1792,"height":1024,"url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png","type":"image\/png"}],"author":"Eugene van der Watt","twitter_card":"summary_large_image","twitter_creator":"@DailyAIOfficial","twitter_site":"@DailyAIOfficial","twitter_misc":{"Skrevet af":"Eugene van der Watt","Estimeret l\u00e6setid":"3 minutter"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"NewsArticle","@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#article","isPartOf":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/"},"author":{"name":"Eugene van der Watt","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa"},"headline":"ML boosts X-ray diffraction techniques to find new materials","datePublished":"2023-12-20T16:29:30+00:00","dateModified":"2023-12-21T10:38:38+00:00","mainEntityOfPage":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/"},"wordCount":493,"publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"image":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png","keywords":["AI benefits","machine learning"],"articleSection":["Industry"],"inLanguage":"da-DK"},{"@type":"WebPage","@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","url":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","name":"ML styrker r\u00f8ntgendiffraktionsteknikker til at finde nye materialer | DailyAI","isPartOf":{"@id":"https:\/\/dailyai.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#primaryimage"},"image":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png","datePublished":"2023-12-20T16:29:30+00:00","dateModified":"2023-12-21T10:38:38+00:00","breadcrumb":{"@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#breadcrumb"},"inLanguage":"da-DK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/"]}]},{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#primaryimage","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png","width":1792,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/dailyai.com\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/dailyai.com\/"},{"@type":"ListItem","position":2,"name":"ML boosts X-ray diffraction techniques to find new materials"}]},{"@type":"WebSite","@id":"https:\/\/dailyai.com\/#website","url":"https:\/\/dailyai.com\/","name":"DailyAI","description":"Din daglige dosis af AI-nyheder","publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/dailyai.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"da-DK"},{"@type":"Organization","@id":"https:\/\/dailyai.com\/#organization","name":"DailyAI","url":"https:\/\/dailyai.com\/","logo":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","width":4501,"height":934,"caption":"DailyAI"},"image":{"@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/DailyAIOfficial","https:\/\/www.linkedin.com\/company\/dailyaiofficial\/","https:\/\/www.youtube.com\/@DailyAIOfficial"]},{"@type":"Person","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa","name":"Eugene van der Watt","image":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","caption":"Eugene van der Watt"},"description":"Eugene har en baggrund som elektronikingeni\u00f8r og elsker alt, hvad der har med teknologi at g\u00f8re. N\u00e5r han tager en pause fra at l\u00e6se AI-nyheder, kan du finde ham ved snookerbordet.","sameAs":["www.linkedin.com\/in\/eugene-van-der-watt-16828119"],"url":"https:\/\/dailyai.com\/da\/author\/eugene\/"}]}},"_links":{"self":[{"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/posts\/8531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/comments?post=8531"}],"version-history":[{"count":6,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/posts\/8531\/revisions"}],"predecessor-version":[{"id":8559,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/posts\/8531\/revisions\/8559"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/media\/8534"}],"wp:attachment":[{"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/media?parent=8531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/categories?post=8531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dailyai.com\/da\/wp-json\/wp\/v2\/tags?post=8531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}